Seasonal Propagation Characteristics from Meteorological to Hydrological Drought and Their Dynamics in the Headstreams of the Tarim River Basin

被引:12
作者
Wang, Zhixia [1 ]
Huang, Shengzhi [1 ]
Huang, Qiang [1 ]
Duan, Weili [2 ,3 ]
Leng, Guoyong [4 ]
Guo, Yi [1 ]
Zheng, Xudong [1 ]
Nie, Mingqiu [1 ]
Han, Zhiming [1 ]
Dong, Haixia [1 ]
Peng, Jian [5 ,6 ]
机构
[1] Xian Univ Technol, Sch Water Resources & Hydropower, State Key Lab Ecohydraul Northwest Arid Reg China, Xian, Peoples R China
[2] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
[5] UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Leipzig, Germany
[6] Univ Leipzig, Remote Sensing Ctr Earth Syst Res, Leipzig, Germany
基金
国家重点研发计划;
关键词
Drought; Dynamics; Climate variability; Bayesian methods; Seasonal variability; STANDARDIZED PRECIPITATION INDEX; DIFFERENT TIME SCALES; CLIMATE-CHANGE; XINJIANG; CHINA; WATER; RUNOFF; RISK; CLASSIFICATION; SIMULATIONS;
D O I
10.1175/JHM-D-21-0250.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In the propagation from meteorological to hydrological drought, there are time-lag and step-abrupt effects, quantified in terms of propagation time and threshold, which play an important role in hydrological drought early warning. However, seasonal drought propagation time and threshold and their dynamics as well as the corresponding driving mechanism remain unknown in a changing environment. To this end, the standardized precipitation index (SPI) and standardized runoff index (SRI) were used respectively to characterize meteorological and hydrological droughts and to determine the optimal propagation time. Then, a seasonal drought propagation framework based on Bayesian network was proposed for calculating the drought propagation threshold with SPI. Finally, the seasonal dynamics and preliminary attribution of propagation characteristics were investigated based on the random forest model and correlation analysis. The results show that 1) relatively short propagation time (less than 9 months) and large propagation threshold (from -3.18 to -1.19) can be observed in the Toxkan River basins (subbasin II), especially for spring, showing low drought resistance; 2) drought propagation time shows an extended trend in most seasons, while the drought propagation threshold displays an increasing trend in autumn and winter in the Aksu River basin (subbasins I-II), and the opposite characteristics in the Hotan and Yarkant River basins (subbasins III-V); and 3) the impacts of precipitation, temperature, potential evapotranspiration, and soil moisture on drought propagation dynamics are inconsistent across subbasins and seasons, noting that reservoirs serve as a buffer to regulate the propagation from meteorological to hydrological droughts. The findings of this study can provide scientific guidelines for watershed hydrological drought early warning and risk management. Significance StatementThe aim of this study is to better understand how the delayed and step-abrupt effects of propagation from meteorological drought to hydrological drought can be characterized through propagation time and threshold. These response indicators determine the resistance of a catchment to hydrological droughts and meteorological droughts. They can help water resources management agencies to mitigate hydrological droughts by taking measures such as water storage, increasing revenue, and reducing expenditure. The findings of this study can provide scientific guidelines for watershed hydrological drought early warning and risk management.
引用
收藏
页码:1487 / 1506
页数:20
相关论文
共 99 条
  • [1] Pair-copula constructions of multiple dependence
    Aas, Kjersti
    Czado, Claudia
    Frigessi, Arnoldo
    Bakken, Henrik
    [J]. INSURANCE MATHEMATICS & ECONOMICS, 2009, 44 (02) : 182 - 198
  • [2] A near real-time satellite-based global drought climate data record
    AghaKouchak, Amir
    Nakhjiri, Navid
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2012, 7 (04):
  • [3] Allen RG., 1998, FAO IRRIGATION DRAIN, pD05109
  • [4] Understanding the Role of Climate Characteristics in Drought Propagation
    Apurv, Tushar
    Sivapalan, Murugesu
    Cai, Ximing
    [J]. WATER RESOURCES RESEARCH, 2017, 53 (11) : 9304 - 9329
  • [5] Effect of watershed disturbance on seasonal hydrological drought: An improved double mass curve (IDMC) technique
    Aryal, Yog
    Zhu, Jianting
    [J]. JOURNAL OF HYDROLOGY, 2020, 585
  • [6] Drought-flood variation and its correlation with runoff in three headstreams of Tarim River, Xinjiang, China
    Bai, Yuan
    Xu, Hailiang
    Ling, Hongbo
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2014, 71 (03) : 1297 - 1309
  • [7] The State and Fate of Himalayan Glaciers
    Bolch, T.
    Kulkarni, A.
    Kaab, A.
    Huggel, C.
    Paul, F.
    Cogley, J. G.
    Frey, H.
    Kargel, J. S.
    Fujita, K.
    Scheel, M.
    Bajracharya, S.
    Stoffel, M.
    [J]. SCIENCE, 2012, 336 (6079) : 310 - 314
  • [8] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32
  • [9] Joint probability risk modelling of storm surge and cyclone wind along the coast of Bay of Bengal using a statistical copula
    Bushra, Nazla
    Trepanier, Jill C.
    Rohli, Robert V.
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (11) : 4206 - 4217
  • [10] Quantifying the contributions of snow/glacier meltwater to river runoff in the Tianshan Mountains, Central Asia
    Chen, Haiyan
    Chen, Yaning
    Li, Weihong
    Li, Zhi
    [J]. GLOBAL AND PLANETARY CHANGE, 2019, 174 : 47 - 57